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Make params non-differentiable (Closes #2040 & #2048) #2054

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Aug 30, 2022
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3 changes: 3 additions & 0 deletions src/functor.jl
Original file line number Diff line number Diff line change
Expand Up @@ -88,6 +88,9 @@ function params(m...)
return ps
end

# Allows caching of the parameters when params is called within gradient()
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Can you add a quick mention of #2040 here? Otherwise this looks good to go!

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Just pushed with edited comment.

@non_differentiable params(m...)

struct FluxCUDAAdaptor end
adapt_storage(to::FluxCUDAAdaptor, x) = CUDA.cu(x)
adapt_storage(to::FluxCUDAAdaptor, x::Zygote.FillArrays.AbstractFill) = CUDA.cu(collect(x))
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